== MCP server ========================================================
  rig                    local-llamacpp-1650ti-2b-q4_0
  command                python3 server.py
  working dir            /home/xbill/gemma4-dev/local-llamacpp-1650ti-2b-q4_0
  transport              stdio (child process)
  pid                    334541
  initialize             ok in 793 ms

== Server info =======================================================
  name                   local-llamacpp-1650ti-2b-q4_0
  version                (empty)
  protocol               2025-11-25
  capabilities           tools, resources, prompts

== Tools =============================================================
  tools/list             7 tools in 2 ms
  * gpu_status           Report the local GPU: name, compute capability, VRAM total/…
  * model_info           Report the configured checkpoint, where it is, and the resi…
    start_model_server   Start llama-server on the local GPU. No-op if it is already…
    stop_model_server    Stop the running llama-server. Teardown is complete — nothi…
  * model_server_status  Check whether llama-server is up and serving at the known l…
  * query_model          Send a chat completion to the local endpoint and return the…
    get_help             List the tools this rig exposes.
  (* = called by this demo, which only calls read-only tools)

== tools/call gpu_status =============================================
  arguments              {}
  latency                14 ms
  isError                false
  result:
    📡 **GPU** — `local-llamacpp-1650ti-2b-q4_0`
    NVIDIA GeForce GTX 1650 Ti with Max-Q Design, 7.5, 4096 MiB, 1632 MiB, 2101 MiB, 615.71.09

== tools/call model_server_status ====================================
  latency                27 ms
  result:
    ✅ Serving at http://127.0.0.1:8080 (pid 83619). `/health` → 200.

== tools/call query_model ============================================
  arguments              {"max_tokens":1024,"prompt":"In one sentence, what is a TPU?"}
  latency                4608 ms
  isError                false
  result:
    ✅ **Reply**

    A TPU (Tensor Processing Unit) is a specialized integrated circuit developed by Google designed to accelerate machine learning workloads, specifically the complex matrix multiplications required by neural networks, significantly speeding up training and inference.

    ---
    _(plus 1173 chars of reasoning, suppressed)_
    prompt 25 tok · completion 326 tok · 71.3 tok/s

== Server log (stderr) ===============================================
  2026-09-11 16:27:09,682 INFO HTTP Request: GET http://127.0.0.1:8080/health "HTTP/1.1 200 OK"
  2026-09-11 16:27:14,292 INFO HTTP Request: POST http://127.0.0.1:8080/v1/chat/completions "HTTP/1.1 200 OK"